Papers
2
Total Citations
24
H-Index
2
About
Kenta Tominaga’s research lies at the intersection of biomechanics, motor control, and robotics, with a central focus on how the human nervous system resolves the redundancy problem—the challenge of coordinating many muscles and joints to produce a single, purposeful movement. His most-cited work, “Extraction and implementation of muscle synergies in neuro-mechanical control of upper limb movement” (2014, 17 citations), demonstrates how muscle synergies—predefined patterns of co-activated muscles—can simplify control of a robotic arm during force production. By extracting these synergies from human electromyography (EMG) signals and interpreting their physical meaning, Tominaga provided a biologically inspired framework for reducing computational complexity in robotic systems. In his earlier study, “Analysis of muscle coordination in human pedaling and implementation with a musculoskeletal robot” (2012, 7 citations), he introduced the agonist-antagonist muscle concept to control a human-like leg robot, addressing the ill-posed problem of redundant degrees-of-freedom. Together, these works showcase Tominaga’s unique ability to translate neural control principles into practical robotic implementations, offering a roadmap for more natural, efficient, and human-like movement in assistive devices and prosthetics.
Research Focus
Key Achievements
Top Papers
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